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All Journal Bincang Sains dan Teknologi Journal of Educational Technology Innovation and Applications
Laura, Daniela
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Computer Science & IT Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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From Data Assets to Value Creation: Competitive Advantage in the AI Age Areche, Franklin Ore; Cansaya, Silvia Hypatia Sarabia; Laura, Daniela
Bincang Sains dan Teknologi Vol. 4 No. 03 (2025): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bst.v4i03.1890

Abstract

The rapid advancement of Artificial Intelligence (AI) has fundamentally transformed how organizations create and sustain competitive advantage. In contemporary business environments, data is no longer treated merely as a supporting asset but has emerged as a primary source of value creation. This article examines how data-driven approaches, enabled by AI technologies, generate competitive advantage through enhanced decision-making, personalization, and operational efficiency. Using a conceptual research method, this study synthesizes findings from international peer-reviewed journals to analyze the mechanisms through which data becomes economic value. The Results and Discussion section elaborates on three core dimensions: the transformation of data into value generators, the economic characteristics of data in AI-driven markets, and the strategic logic of value creation through data–algorithm–context alignment. The findings indicate that data-driven competitive advantage is contingent not only on data volume but also on data quality, governance, and organizational capability. This article contributes to the growing body of literature on AI-enabled strategy by offering an integrated framework for understanding data as a strategic source of competitive advantage.
Scoping Review of AI-Enabled Predictive Analytics and Decision Support in Agricultural Education: Current Trends, Tools, and Pedagogical Implications Laura, Daniela; Cordova, Nancy V. Quispe; Areche, Franklin Ore
Journal of Educational Technology Innovation and Applications Vol. 2 No. 01 (2026): Article in Press - Journal of Educational Technology Innovation and Applicatio
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jetia.001994

Abstract

Artificial Intelligence (AI) and predictive analytics are increasingly reshaping contemporary agricultural systems by enabling data-driven decision support, early pest and disease detection, and optimized crop management. As these technologies become embedded in agricultural practice, agricultural education faces growing pressure to prepare learners with analytical reasoning and decision-making competencies aligned with AI-enabled environments. This scoping review maps peer-reviewed literature published between 2020 and 2025 on AI-enabled predictive analytics, crop advisory systems, and pest and disease detection technologies, with a specific focus on their educational implications. Following PRISMA-ScR guidelines, 18 studies were systematically identified and synthesized through thematic analysis. The results indicate rapid growth in technically oriented AI applications for precision agriculture, contrasted with limited empirical research on curriculum integration and competency-based learning outcomes. While project-based learning, simulations, and decision support tools are frequently proposed as pedagogical strategies, explicit assessment of learners’ analytical and decision-making competencies remains scarce. This review highlights critical gaps between AI innovation and educational research, and underscores the need for interdisciplinary approaches, curriculum redesign, and competency frameworks that support responsible and effective AI use in agricultural education.
Co-Authors Areche, Franklin Ore Cansaya, Silvia Hypatia Sarabia Cordova, Nancy V. Quispe